A compliant 2×2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm2, similarly to the SA1 innervation density in humans. Experimental analysis of the bio-inspired tactile sensor array was performed by using ridged surfaces, with spatial periods from 2.6 mm to 4.1 mm, which were indented with regulated 1N normal force and stroked at constant sliding velocity from 15 mm/s to 48 mm/s. A repeatable and expected frequency shift of the sensor outputs depending on the applied stimulus and on its scanning velocity was observed between 3.66 Hz and 18.46 Hz with an overall maximum error of 1.7%. The tactile sensor could also perform contact imaging during static stimulus indentation. The experiments demonstrated the suitability of this approach for the design of a roughness encoding tactile sensor for an artificial fingerpad.

Oddo, C., Beccai, L., Felder, M., Giovacchini, F., Carrozza, M. (2009). Artificial Roughness Encoding with a Bio-inspired MEMSbased Tactile Sensor Array. SENSORS, 9(5), 3161-3183 [10.3390/s90503161].

Artificial Roughness Encoding with a Bio-inspired MEMSbased Tactile Sensor Array

Carrozza M. C.
2009

Abstract

A compliant 2×2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm2, similarly to the SA1 innervation density in humans. Experimental analysis of the bio-inspired tactile sensor array was performed by using ridged surfaces, with spatial periods from 2.6 mm to 4.1 mm, which were indented with regulated 1N normal force and stroked at constant sliding velocity from 15 mm/s to 48 mm/s. A repeatable and expected frequency shift of the sensor outputs depending on the applied stimulus and on its scanning velocity was observed between 3.66 Hz and 18.46 Hz with an overall maximum error of 1.7%. The tactile sensor could also perform contact imaging during static stimulus indentation. The experiments demonstrated the suitability of this approach for the design of a roughness encoding tactile sensor for an artificial fingerpad.
Articolo in rivista - Articolo scientifico
Bio-inspired sensor; Dynamic touch; MEMS tactile sensor array; Roughness encoding; Static contact imaging;
English
2009
9
5
3161
3183
open
Oddo, C., Beccai, L., Felder, M., Giovacchini, F., Carrozza, M. (2009). Artificial Roughness Encoding with a Bio-inspired MEMSbased Tactile Sensor Array. SENSORS, 9(5), 3161-3183 [10.3390/s90503161].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/559482
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